Jerry Leo's repositories
hyperspectral_pretreatment
高光谱数据预处理方法python代码
CARS_band_selection
竞争性自适应重加权采样法（competitive adapative reweighted sampling， CARS）python代码
APDet-pytorch
the implemention of APNet and APDet for hyperspectral moldy peanut identification
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BSCNN
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density
centermask2
CenterMask2 on top of detectron2, in CVPR 2020
FSS-1000
FSS-1000, A 1000-class Dataset For Few-shot Segmentation
GCSR-BS
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image
HANet
城市场景分割 HANet (CVPR 2020)
hypernet
论文代码Hyperspectral Band Selection Using Attention-based Convolutional Neural Networks
mahalanob_mashijuli
马氏距离剔除异常值-python代码
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
Savoias-Dataset
A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
SEAM
弱监督语义分割的自监督等变注意机制的实现。Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
senet.pytorch
PyTorch implementation of SENet
SOLO
SOLO and SOLOv2 for instance segmentation.
SPNet
条带池化：重新思考用于场景解析的空间池化cvpr2020
YOLO-v5
:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）
yoloair
🔥🔥🔥YOLOAir：Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5
yolov4-keras
这是一个YoloV4-keras的源码，可以用于训练自己的模型。
yolov4-tiny-keras
这是一个YoloV4-tiny-keras的源码，可以用于训练自己的模型。
YOLOX
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and Openvino supported.
yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。